What is "conditioning" on a feature?
This is conditioning in the sense of conditional probability. The idea is that the authors have some "standard physically-inspired features". They are splitting the data up into bins based on the values of these features, and then training a model for each bin. They are then examining the differences between the models. Usually this is done to learn something about the benefits of using the different features, and about the relationships between features and outputs.